• Title/Summary/Keyword: Matter

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The Characteristics of "States of Matter" Concept Attributes of 3rd to 6th Grade Elementary School Students

  • Choi, Jung-In;Paik, Seoung-Hey
    • Journal of the Korean Chemical Society
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    • v.60 no.6
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    • pp.415-427
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    • 2016
  • This study analyzed the attributes of the conceptions of $3^{rd}$ to $6^{th}$ grade elementary school students on three states of matter and investigated the characteristics of the classified results of various examples of matter by grades. Through discussion activities, we confirmed the stabilization of conception attributions. For this study, 113 participants from two $3^{rd}$ to $6^{th}$ grade elementary school classes were selected. The concentration analysis (C-factor) and normalized gain (G-factor) of the conceptions for the quantitative analysis of the conception changes were used. The elementary school students retained different percentages of the attributes for states of matter. The characteristic of the grades were different between the 3rd grade and other grades. Based on these results, we pointed out the problems with the present teaching methods in science textbooks and stated the advantages of the effects of the representation of mixtures.

Ecophysiological Studied on the Matter Production of Soybean to the Environmental Stress (환경스트레스에 대한 대두의 물질생산에 관한 생태생리학적 연구 제1보. 토양수분조건이 콩의 증산작용, 건물생산속도 및 요수량에 미치는 영향)

  • 이충열;김성만;김용철;최인수;박현철
    • Journal of Life Science
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    • v.9 no.4
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    • pp.368-374
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    • 1999
  • Three soybean cultivars, Hwangkeum, Tanyeob and Enrei were planted in the same pot under glasshouse conditions to investigate the influence of the different soil water content such as pF 1.4(wet), 2.1(control) and 3.6(dry) on the transpiration rate, dry matter production and water requirement. The transpiration rate remained the high constant rates under the wet soil condition and the control than the dry condition, and showed a linear correlation between transpiration rate and solar radiation under the all condition of soil water. The transpiration rate highly increased in the morning, but dramatically decreased in the other time in a day. The dry matter production was higher under the conditions of wet soil and the control than that under the dry condition. Also, the dry matter production Tanyeob was higher than other cultivars under all soil water content. The water requirement was higher for Enrei and lower Tanyeob than the control.

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Effect of Fruits Removal on the Photosynthesis and the Growth of Ginseng Plant (Punax ginseng C. A. MEYER) (적예가 인삼의 광합성 및 생육에 미치는 영향)

  • Yang, Deok-Jo;Lee, Seong-Sik;Kim, Yo-Tae
    • Journal of Ginseng Research
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    • v.6 no.1
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    • pp.1-10
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    • 1982
  • This study was conducted to determine effect of fruits removal on the CO2 exchange rates (CER) and growth of ginseng plant. Fruit of 2, 4 age plant removed at 7, May. The results of these investigations are as follows. 1. The net photosynthetic rates of the ginseng bearing fruits increased to a considerably greater degree than that of the ginseng without fruit in each ages. 2. The total dry matter per plant in bearing fruit (40.24g) had produced more dry matter than that of non-fruiting plant (38.13g) , but the root 4.y matter in fruiting plant (26.2g) had produced less dry matter than that of non-fruiting plant (27.1g) in 4 age. 3. The ginseng plant in bearing fruit did not influence the dry matter of stem and leaf. 4. The maximum RGR of root (17, June) was slower than that of fruit (4, June) .

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Discharge analysis of SrO- and SrCaO-PDP operated at lower voltage

  • Uchida, G.;Uchida, S.;Yano, T.;Awaji, N.;Kajiyama, H.;Shinoda, T.
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.177-180
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    • 2009
  • Here is presented the measurement on SrO- and SrCaO-PDP operated at lower voltage. SrO- and SrCaO-PDP attain high luminous efficacy at low voltage, where the breakdown voltage is 30 % lower than that of the ordinary MgO-PDP. A one-dimensional fluid model is applied for the simulation of PDP discharge. High VUV radiation efficiency is confirmed at high ${\gamma}_i$ and both low and high $V_s$ as in the experiment. Discharge analysis in simulation also shows that the high ${\gamma}_i$ protective layer leads to high plasma density especially near the cathode electrode, being responsible for high efficiency.

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The Relationship between Particulate Matter and Allergic Disease among Adolescents (청소년 알레르기질환과 미세먼지의 관련성)

  • Kim, Eungyeong
    • Journal of the Korean Society of School Health
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    • v.33 no.3
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    • pp.148-155
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    • 2020
  • Purpose: The study was performed to identify the relationship between particulate matter and allergic diseases among adolescents in South Korea. Methods: The study used the raw data from the Korean Youth Risk Behavior Web-Based Survey which was performed in 2018. The data of a total of 60,040 students were analyzed, using SPSS 21, by descriptive statistics, t-test, χ2 test, and logistic regression. Results: Allergic diseases among adolescents were showed to be significantly related to gender, age, school record, stress, BMI, insufficient sleep, depression, current drinking, current smoking, and particulate matter concentrations. Conclusion: The findings suggest that a health promotion program that considers particulate matter concentrations be developed to improve the health status of adolescents with allergic diseases.

Comparative Analysis of PM10 Prediction Performance between Neural Network Models

  • Jung, Yong-Jin;Oh, Chang-Heon
    • Journal of information and communication convergence engineering
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    • v.19 no.4
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    • pp.241-247
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    • 2021
  • Particulate matter has emerged as a serious global problem, necessitating highly reliable information on the matter. Therefore, various algorithms have been used in studies to predict particulate matter. In this study, we compared the prediction performance of neural network models that have been actively studied for particulate matter prediction. Among the neural network algorithms, a deep neural network (DNN), a recurrent neural network, and long short-term memory were used to design the optimal prediction model using a hyper-parameter search. In the comparative analysis of the prediction performance of each model, the DNN model showed a lower root mean square error (RMSE) than the other algorithms in the performance comparison using the RMSE and the level of accuracy as metrics for evaluation. The stability of the recurrent neural network was slightly lower than that of the other algorithms, although the accuracy was higher.

Characterization of NOM Behavior and DBPs Formation in Water Treatment Processes (정수처리공정에서 NOM 거동과 소독부산물 발생특성)

  • Kim, Sang Eun;Gu, Yeun Hee;Yu, Myong Jin;Chang, Hyun Seong;Lee, Su Won;Han, Sun Hee
    • Journal of Korean Society of Water and Wastewater
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    • v.21 no.4
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    • pp.395-407
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    • 2007
  • Disinfection by-products(DBPs) are formed through the reaction between chlorine and natural organic matter(NOM) in water treatment. For reducing the formation of chlorinated DBPs in the drinking water treatment, there is a need to evaluate the behavior of NOM fractions and the occurrence of DBPs for each fraction. Among the six fractions of NOM, the removal of HPOA and HPIN got accomplished through coagulation and sedimentation processes. Advanced water treatment processes were found to be most significant to remove the HPOA and HPON. It was found that HPOA made the most THMFP level than any other fractions and HPIA and HPOA formed higher HAAFP. The fraction of NOM with MW less than 1k Da was 32.5~54.3% in intake raw water. Mostly the organic matter with MW more than 1k Da was removed through coagulation and sedimentation in the drinking water treatment processes. In case of advanced water treatment processes, the organic matter with MW 1k~100k Da decreased by means of ozone oxidation for high molecular weight substances. As the result low molecular organic matter increased. In the BAC and GAC processes, the organic matter with MW less than 100k Da decreased.

Identification of the Food Sources-Metabolism of the Pacific Oyster Crassostrea gigas using Carbon and Nitrogen Stable Isotopic Ratios

  • Yang, Jin-Yong;Shin, Kyung-Hoon
    • Korean Journal of Environmental Biology
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    • v.27 no.3
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    • pp.279-284
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    • 2009
  • In order to understand food sources-metabolism for the pacific oyster (Crassostrea gigas), the stable isotope ratios of carbon (${\delta}^{13}C$) and nitrogen (${\delta}^{15}N$) of its gut, gill, and muscle as well as potential food sources (particulate organic matter, sedimentary organic matter, benthic microalgae, seagrass detritus) were determined in Dongdae Bay. Average ${\delta}^{13}C$ and ${\delta}^{15}N$ values reflect that oysters primarily fed on sedimentary organic matter as opposed to suspended organic matter during summer and winter seasons. However, the relatively enriched $^{15}N$ values of particulate organic matter (>$250{\mu}m$) and sedimentary organic matter in the summer may be due to the photosynthetic incorporation of $^{15}N$-enriched nitrogen (DIN) or the spawning events of bivalves. Specific oyster tissues (gut, gill, and muscle) revealed different metabolic pathways, which were determined through analysis of ${\delta}^{13}C$ and ${\delta}^{15}N$ in each organ. The present results suggest the determination of carbon and nitrogen stable isotopes to be a useful approach in ecological research related to the food sources- metabolism of Crassostrea gigas.

Estimating Social Benefits According to Exhaust Gas Reduction Devices (DPF) (배출가스 저감장치(DPF) 부착에 따른 사회적 편익 추정)

  • Choi, Soungkyu;Kim, Yongdal;Kim, Hogyeong;Bae, Jinmin
    • Journal of Auto-vehicle Safety Association
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    • v.10 no.3
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    • pp.27-31
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    • 2018
  • The People have a bad perception about diesel vehicle because of serious air pollution, increase fine dust and global vehicle company's diesel gate. Starting the project in 2005, Ministry of Environment has been supporting that is exhaust gas reduction devices (DPF) on diesel vehicles in the metropolitan area. During the period of 2017.01.01 to 2017.12.31, 10,030 diesel vehicles installed exhaust gas reduction devices (DPF). Among them, 9,921 diesel vehicles that they have sufficient data for analysis were analyzed amount of particulate matter reduction before and after exhaust gas reduction devices (DPF) was installed. Opacity smoke meter measures the concentration of particulate matter. So concentration of particulate matter was converted into a mass unit, and then calculated the total amount of reduced particulate matter. It was estimated that social benefits is costs required to remove it from the total amount of particulate matter.